Zhenzhong Yu

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About

Zhenzhong Yu is a researcher focused on robotics and control systems, with particular expertise in parallel robot mechanisms and intelligent control strategies. His work centers on improving the precision and stability of robotic systems through advanced trajectory planning and adaptive control methods. In his notable 2018 study on trajectory tracking control of a 3-PRP parallel robot, Yu employed polynomial-based trajectory planning to address the complex motion characteristics of parallel manipulators. He then developed a novel fuzzy PI controller designed to mitigate instability factors inherent in parallel robot control systems, successfully demonstrating enhanced tracking performance. While his most-cited paper has accumulated 3 citations, Yu's contributions represent foundational work in the integration of fuzzy logic with traditional proportional-integral control for robotic applications. His research addresses critical challenges in parallel robotics, including trajectory optimization and robust control under uncertain conditions, offering practical solutions for industrial automation and precision manufacturing. Yu's work continues to inform developments in intelligent robotic control, particularly for systems requiring high accuracy and adaptability.